Can computational efficiency alone drive the evolution of modularity in neural networks?

Tosh, CR (2016) Can computational efficiency alone drive the evolution of modularity in neural networks? Scientific Reports, 6. 31982. ISSN 2045-2322

Abstract

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Authors/Creators:
  • Tosh, CR
Copyright, Publisher and Additional Information: © The Author(s) 2016. This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
Keywords: Computational models; Evolutionary developmental biology
Dates:
  • Published: 30 August 2016
  • Accepted: 26 July 2016
  • Published (online): 30 August 2016
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Biological Sciences (Leeds) > School of Biology (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 08 Mar 2018 15:26
Last Modified: 06 Jul 2018 10:16
Status: Published
Publisher: Nature Publishing Group
Identification Number: https://doi.org/10.1038/srep31982

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